Pandas Profiling Report

Dataset statistics

Number of variables	19
Number of observations	2240
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	179
Duplicate rows (%)	8.0%
Total size in memory	332.6 KiB
Average record size in memory	152.1 B

Variable types

Categorical	10
Numeric	9

Alerts

Dataset has 179 (8.0%) duplicate rows	Duplicates
`Income` is highly overall correlated with `NumWebPurchases` and 4 other fields	High correlation
`NumWebPurchases` is highly overall correlated with `Income` and 3 other fields	High correlation
`NumCatalogPurchases` is highly overall correlated with `Income` and 4 other fields	High correlation
`NumStorePurchases` is highly overall correlated with `Income` and 3 other fields	High correlation
`NumWebVisitsMonth` is highly overall correlated with `Income` and 1 other fields	High correlation
`Total_Spending` is highly overall correlated with `Income` and 4 other fields	High correlation
`AcceptedCmp5` is highly overall correlated with `Total_Spending`	High correlation
`AcceptedCmp3` is highly imbalanced (62.4%)	Imbalance
`AcceptedCmp4` is highly imbalanced (61.7%)	Imbalance
`AcceptedCmp5` is highly imbalanced (62.4%)	Imbalance
`AcceptedCmp1` is highly imbalanced (65.6%)	Imbalance
`AcceptedCmp2` is highly imbalanced (89.7%)	Imbalance
`Recency` has 28 (1.2%) zeros	Zeros
`NumDealsPurchases` has 46 (2.1%) zeros	Zeros
`NumWebPurchases` has 49 (2.2%) zeros	Zeros
`NumCatalogPurchases` has 586 (26.2%) zeros	Zeros

Reproduction

Analysis started	2023-04-28 18:10:48.723719
Analysis finished	2023-04-28 18:11:06.913695
Duration	18.19 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Education
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

Graduation	1127
Post Graduate	856
Under Graduate	257

Length

Max length	14
Median length	10
Mean length	11.605357
Min length	10

Characters and Unicode

Total characters	25996
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Graduation
2nd row	Graduation
3rd row	Graduation
4th row	Graduation
5th row	Post Graduate

Common Values

Value	Count	Frequency (%)
Graduation	1127	50.3%
Post Graduate	856	38.2%
Under Graduate	257	11.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
graduation	1127	33.6%
graduate	1113	33.2%
post	856	25.5%
under	257	7.7%

Most occurring characters

Value	Count	Frequency (%)
a	4480	17.2%
t	3096	11.9%
r	2497	9.6%
d	2497	9.6%
G	2240	8.6%
u	2240	8.6%
o	1983	7.6%
n	1384	5.3%
e	1370	5.3%
i	1127	4.3%
Other values (4)	3082	11.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21530	82.8%
Uppercase Letter	3353	12.9%
Space Separator	1113	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4480	20.8%
t	3096	14.4%
r	2497	11.6%
d	2497	11.6%
u	2240	10.4%
o	1983	9.2%
n	1384	6.4%
e	1370	6.4%
i	1127	5.2%
s	856	4.0%

Uppercase Letter

Value	Count	Frequency (%)
G	2240	66.8%
P	856	25.5%
U	257	7.7%

Space Separator

Value	Count	Frequency (%)
	1113	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24883	95.7%
Common	1113	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4480	18.0%
t	3096	12.4%
r	2497	10.0%
d	2497	10.0%
G	2240	9.0%
u	2240	9.0%
o	1983	8.0%
n	1384	5.6%
e	1370	5.5%
i	1127	4.5%
Other values (3)	1969	7.9%

Common

Value	Count	Frequency (%)
	1113	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4480	17.2%
t	3096	11.9%
r	2497	9.6%
d	2497	9.6%
G	2240	8.6%
u	2240	8.6%
o	1983	7.6%
n	1384	5.3%
e	1370	5.3%
i	1127	4.3%
Other values (4)	3082	11.9%

Marital_Status
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

Not Single	1444
Single	796

Length

Max length	10
Median length	10
Mean length	8.5785714
Min length	6

Characters and Unicode

Total characters	19216
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single
2nd row	Single
3rd row	Not Single
4th row	Not Single
5th row	Not Single

Common Values

Value	Count	Frequency (%)
Not Single	1444	64.5%
Single	796	35.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	2240	60.8%
not	1444	39.2%

Most occurring characters

Value	Count	Frequency (%)
S	2240	11.7%
i	2240	11.7%
n	2240	11.7%
g	2240	11.7%
l	2240	11.7%
e	2240	11.7%
N	1444	7.5%
o	1444	7.5%
t	1444	7.5%
	1444	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14088	73.3%
Uppercase Letter	3684	19.2%
Space Separator	1444	7.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	2240	15.9%
n	2240	15.9%
g	2240	15.9%
l	2240	15.9%
e	2240	15.9%
o	1444	10.2%
t	1444	10.2%

Uppercase Letter

Value	Count	Frequency (%)
S	2240	60.8%
N	1444	39.2%

Space Separator

Value	Count	Frequency (%)
	1444	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17772	92.5%
Common	1444	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	2240	12.6%
i	2240	12.6%
n	2240	12.6%
g	2240	12.6%
l	2240	12.6%
e	2240	12.6%
N	1444	8.1%
o	1444	8.1%
t	1444	8.1%

Common

Value	Count	Frequency (%)
	1444	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	2240	11.7%
i	2240	11.7%
n	2240	11.7%
g	2240	11.7%
l	2240	11.7%
e	2240	11.7%
N	1444	7.5%
o	1444	7.5%
t	1444	7.5%
	1444	7.5%

Income
Real number (ℝ)

Distinct	1975
Distinct (%)	88.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52237.975

Minimum	1730
Maximum	666666
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	1730
5-th percentile	19101.05
Q1	35538.75
median	51381.5
Q3	68289.75
95-th percentile	83927
Maximum	666666
Range	664936
Interquartile range (IQR)	32751

Descriptive statistics

Standard deviation	25037.956
Coefficient of variation (CV)	0.47930563
Kurtosis	161.40014
Mean	52237.975
Median Absolute Deviation (MAD)	16409
Skewness	6.8009474
Sum	1.1701306 × 10⁸
Variance	6.2689924 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51381.5	24	1.1%
7500	12	0.5%
35860	4	0.2%
37760	3	0.1%
83844	3	0.1%
63841	3	0.1%
18929	3	0.1%
47025	3	0.1%
34176	3	0.1%
48432	3	0.1%
Other values (1965)	2179	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1730	1	< 0.1%
2447	1	< 0.1%
3502	1	< 0.1%
4023	1	< 0.1%
4428	1	< 0.1%
4861	1	< 0.1%
5305	1	< 0.1%
5648	1	< 0.1%
6560	1	< 0.1%
6835	1	< 0.1%

Value	Count	Frequency (%)
666666	1	< 0.1%
162397	1	< 0.1%
160803	1	< 0.1%
157733	1	< 0.1%
157243	1	< 0.1%
157146	1	< 0.1%
156924	1	< 0.1%
153924	1	< 0.1%
113734	1	< 0.1%
105471	1	< 0.1%

Dt_Customer
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

10	1189
9	557
11	494

Length

Max length	2
Median length	2
Mean length	1.7513393
Min length	1

Characters and Unicode

Total characters	3923
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	11
2nd row	9
3rd row	10
4th row	9
5th row	9

Common Values

Value	Count	Frequency (%)
10	1189	53.1%
9	557	24.9%
11	494	22.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
10	1189	53.1%
9	557	24.9%
11	494	22.1%

Most occurring characters

Value	Count	Frequency (%)
1	2177	55.5%
0	1189	30.3%
9	557	14.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3923	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2177	55.5%
0	1189	30.3%
9	557	14.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3923	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2177	55.5%
0	1189	30.3%
9	557	14.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3923	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2177	55.5%
0	1189	30.3%
9	557	14.2%

Recency
Real number (ℝ)

Distinct	100
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.109375

Minimum	0
Maximum	99
Zeros	28
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	24
median	49
Q3	74
95-th percentile	94
Maximum	99
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.962453
Coefficient of variation (CV)	0.58975405
Kurtosis	-1.2018968
Mean	49.109375
Median Absolute Deviation (MAD)	25
Skewness	-0.0019866586
Sum	110005
Variance	838.82367
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	37	1.7%
30	32	1.4%
54	32	1.4%
46	31	1.4%
92	30	1.3%
49	30	1.3%
65	30	1.3%
3	29	1.3%
29	29	1.3%
71	29	1.3%
Other values (90)	1931	86.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28	1.2%
1	24	1.1%
2	28	1.2%
3	29	1.3%
4	27	1.2%
5	15	0.7%
6	21	0.9%
7	12	0.5%
8	25	1.1%
9	24	1.1%

Value	Count	Frequency (%)
99	17	0.8%
98	22	1.0%
97	20	0.9%
96	25	1.1%
95	19	0.8%
94	26	1.2%
93	21	0.9%
92	30	1.3%
91	18	0.8%
90	20	0.9%

NumDealsPurchases
Real number (ℝ)

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.325

Minimum	0
Maximum	15
Zeros	46
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	15
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9322375
Coefficient of variation (CV)	0.83106989
Kurtosis	8.9369143
Mean	2.325
Median Absolute Deviation (MAD)	1
Skewness	2.4185694
Sum	5208
Variance	3.7335418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	970	43.3%
2	497	22.2%
3	297	13.3%
4	189	8.4%
5	94	4.2%
6	61	2.7%
0	46	2.1%
7	40	1.8%
8	14	0.6%
9	8	0.4%
Other values (5)	24	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	46	2.1%
1	970	43.3%
2	497	22.2%
3	297	13.3%
4	189	8.4%
5	94	4.2%
6	61	2.7%
7	40	1.8%
8	14	0.6%
9	8	0.4%

Value	Count	Frequency (%)
15	7	0.3%
13	3	0.1%
12	4	0.2%
11	5	0.2%
10	5	0.2%
9	8	0.4%
8	14	0.6%
7	40	1.8%
6	61	2.7%
5	94	4.2%

NumWebPurchases
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0848214

Minimum	0
Maximum	27
Zeros	49
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	9
Maximum	27
Range	27
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.7787141
Coefficient of variation (CV)	0.68025352
Kurtosis	5.7031284
Mean	4.0848214
Median Absolute Deviation (MAD)	2
Skewness	1.3827943
Sum	9150
Variance	7.7212523
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
2	373	16.7%
1	354	15.8%
3	336	15.0%
4	280	12.5%
5	220	9.8%
6	205	9.2%
7	155	6.9%
8	102	4.6%
9	75	3.3%
0	49	2.2%
Other values (5)	91	4.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	49	2.2%
1	354	15.8%
2	373	16.7%
3	336	15.0%
4	280	12.5%
5	220	9.8%
6	205	9.2%
7	155	6.9%
8	102	4.6%
9	75	3.3%

Value	Count	Frequency (%)
27	2	0.1%
25	1	< 0.1%
23	1	< 0.1%
11	44	2.0%
10	43	1.9%
9	75	3.3%
8	102	4.6%
7	155	6.9%
6	205	9.2%
5	220	9.8%

NumCatalogPurchases
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6620536

Minimum	0
Maximum	28
Zeros	586
Zeros (%)	26.2%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	4
95-th percentile	9
Maximum	28
Range	28
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.9231007
Coefficient of variation (CV)	1.0980623
Kurtosis	8.0474368
Mean	2.6620536
Median Absolute Deviation (MAD)	2
Skewness	1.8809888
Sum	5963
Variance	8.5445174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	586	26.2%
1	497	22.2%
2	276	12.3%
3	184	8.2%
4	182	8.1%
5	140	6.2%
6	128	5.7%
7	79	3.5%
8	55	2.5%
10	48	2.1%
Other values (4)	65	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	586	26.2%
1	497	22.2%
2	276	12.3%
3	184	8.2%
4	182	8.1%
5	140	6.2%
6	128	5.7%
7	79	3.5%
8	55	2.5%
9	42	1.9%

Value	Count	Frequency (%)
28	3	0.1%
22	1	< 0.1%
11	19	0.8%
10	48	2.1%
9	42	1.9%
8	55	2.5%
7	79	3.5%
6	128	5.7%
5	140	6.2%
4	182	8.1%

NumStorePurchases
Real number (ℝ)

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.7901786

Minimum	0
Maximum	13
Zeros	15
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	5
Q3	8
95-th percentile	12
Maximum	13
Range	13
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.2509581
Coefficient of variation (CV)	0.56146077
Kurtosis	-0.62204828
Mean	5.7901786
Median Absolute Deviation (MAD)	2
Skewness	0.70223729
Sum	12970
Variance	10.568729
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	490	21.9%
4	323	14.4%
2	223	10.0%
5	212	9.5%
6	178	7.9%
8	149	6.7%
7	143	6.4%
10	125	5.6%
9	106	4.7%
12	105	4.7%
Other values (4)	186	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	0.7%
1	7	0.3%
2	223	10.0%
3	490	21.9%
4	323	14.4%
5	212	9.5%
6	178	7.9%
7	143	6.4%
8	149	6.7%
9	106	4.7%

Value	Count	Frequency (%)
13	83	3.7%
12	105	4.7%
11	81	3.6%
10	125	5.6%
9	106	4.7%
8	149	6.7%
7	143	6.4%
6	178	7.9%
5	212	9.5%
4	323	14.4%

NumWebVisitsMonth
Real number (ℝ)

Distinct	16
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3165179

Minimum	0
Maximum	20
Zeros	11
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	7
95-th percentile	8
Maximum	20
Range	20
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.426645
Coefficient of variation (CV)	0.45643503
Kurtosis	1.8216138
Mean	5.3165179
Median Absolute Deviation (MAD)	2
Skewness	0.20792556
Sum	11909
Variance	5.888606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
7	393	17.5%
8	342	15.3%
6	340	15.2%
5	281	12.5%
4	218	9.7%
3	205	9.2%
2	202	9.0%
1	153	6.8%
9	83	3.7%
0	11	0.5%
Other values (6)	12	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	0.5%
1	153	6.8%
2	202	9.0%
3	205	9.2%
4	218	9.7%
5	281	12.5%
6	340	15.2%
7	393	17.5%
8	342	15.3%
9	83	3.7%

Value	Count	Frequency (%)
20	3	0.1%
19	2	0.1%
17	1	< 0.1%
14	2	0.1%
13	1	< 0.1%
10	3	0.1%
9	83	3.7%
8	342	15.3%
7	393	17.5%
6	340	15.2%

AcceptedCmp3
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2077
1	163

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

AcceptedCmp4
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2073
1	167

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring characters

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

AcceptedCmp5
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2077
1	163

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

AcceptedCmp1
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2096
1	144

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

AcceptedCmp2
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2210
1	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Response
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	1906
1	334

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	2240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Age
Real number (ℝ)

Distinct	59
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54.194196

Minimum	27
Maximum	130
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	27
5-th percentile	35
Q1	46
median	53
Q3	64
95-th percentile	73
Maximum	130
Range	103
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	11.984069
Coefficient of variation (CV)	0.22113197
Kurtosis	0.71746444
Mean	54.194196
Median Absolute Deviation (MAD)	9
Skewness	0.34994386
Sum	121395
Variance	143.61792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47	89	4.0%
52	87	3.9%
48	83	3.7%
51	79	3.5%
45	77	3.4%
53	77	3.4%
50	74	3.3%
58	74	3.3%
54	71	3.2%
49	69	3.1%
Other values (49)	1460	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27	2	0.1%
28	5	0.2%
29	3	0.1%
30	5	0.2%
31	13	0.6%
32	15	0.7%
33	18	0.8%
34	30	1.3%
35	29	1.3%
36	27	1.2%

Value	Count	Frequency (%)
130	1	< 0.1%
124	1	< 0.1%
123	1	< 0.1%
83	1	< 0.1%
82	1	< 0.1%
80	7	0.3%
79	7	0.3%
78	8	0.4%
77	16	0.7%
76	16	0.7%

Total_Spending
Real number (ℝ)

Distinct	1054
Distinct (%)	47.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	605.79821

Minimum	5
Maximum	2525
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	5
5-th percentile	22
Q1	68.75
median	396
Q3	1045.5
95-th percentile	1772.3
Maximum	2525
Range	2520
Interquartile range (IQR)	976.75

Descriptive statistics

Standard deviation	602.24929
Coefficient of variation (CV)	0.99414174
Kurtosis	-0.34193682
Mean	605.79821
Median Absolute Deviation (MAD)	353
Skewness	0.86084051
Sum	1356988
Variance	362704.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46	19	0.8%
22	18	0.8%
57	16	0.7%
44	15	0.7%
55	15	0.7%
48	14	0.6%
20	14	0.6%
43	14	0.6%
37	14	0.6%
38	14	0.6%
Other values (1044)	2087	93.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
6	2	0.1%
8	4	0.2%
9	2	0.1%
10	5	0.2%
11	5	0.2%
12	2	0.1%
13	6	0.3%
14	3	0.1%
15	10	0.4%

Value	Count	Frequency (%)
2525	2	0.1%
2524	1	< 0.1%
2486	1	< 0.1%
2440	1	< 0.1%
2352	1	< 0.1%
2349	1	< 0.1%
2346	1	< 0.1%
2302	2	0.1%
2283	1	< 0.1%
2279	1	< 0.1%

Number_of_Children
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

1	1128
0	638
2	421
3	53

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	2
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	1128	50.4%
0	638	28.5%
2	421	18.8%
3	53	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	1128	50.4%
0	638	28.5%
2	421	18.8%
3	53	2.4%

Most occurring characters

Value	Count	Frequency (%)
1	1128	50.4%
0	638	28.5%
2	421	18.8%
3	53	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1128	50.4%
0	638	28.5%
2	421	18.8%
3	53	2.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1128	50.4%
0	638	28.5%
2	421	18.8%
3	53	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1128	50.4%
0	638	28.5%
2	421	18.8%
3	53	2.4%

Auto

Heatmap
Table

	Income	Recency	NumDealsPurchases	NumWebPurchases	NumCatalogPurchases	NumStorePurchases	NumWebVisitsMonth	Age	Total_Spending	Education	Marital_Status	Dt_Customer	AcceptedCmp3	AcceptedCmp4	AcceptedCmp5	AcceptedCmp1	AcceptedCmp2	Response	Number_of_Children
Income	1.000	0.008	-0.193	0.571	0.788	0.729	-0.640	0.216	0.847	0.051	0.000	0.000	0.000	0.136	0.447	0.358	0.068	0.193	0.303
Recency	0.008	1.000	0.008	-0.004	0.031	0.006	-0.022	0.021	0.020	0.000	0.047	0.009	0.044	0.000	0.000	0.000	0.034	0.208	0.038
NumDealsPurchases	-0.193	0.008	1.000	0.284	-0.040	0.100	0.398	0.087	-0.015	0.000	0.022	0.145	0.000	0.051	0.245	0.164	0.000	0.096	0.368
NumWebPurchases	0.571	-0.004	0.284	1.000	0.619	0.673	-0.097	0.164	0.727	0.083	0.012	0.123	0.024	0.155	0.171	0.165	0.000	0.166	0.149
NumCatalogPurchases	0.788	0.031	-0.040	0.619	1.000	0.709	-0.536	0.179	0.892	0.064	0.022	0.052	0.089	0.192	0.359	0.314	0.111	0.219	0.292
NumStorePurchases	0.729	0.006	0.100	0.673	0.709	1.000	-0.454	0.168	0.805	0.100	0.000	0.079	0.178	0.213	0.229	0.198	0.081	0.149	0.200
NumWebVisitsMonth	-0.640	-0.022	0.398	-0.097	-0.536	-0.454	1.000	-0.131	-0.476	0.041	0.026	0.199	0.077	0.000	0.309	0.202	0.000	0.121	0.325
Age	0.216	0.021	0.087	0.164	0.179	0.168	-0.131	1.000	0.157	0.147	0.077	0.000	0.052	0.043	0.093	0.054	0.000	0.000	0.184
Total_Spending	0.847	0.020	-0.015	0.727	0.892	0.805	-0.476	0.157	1.000	0.099	0.000	0.115	0.056	0.251	0.526	0.417	0.151	0.294	0.324
Education	0.051	0.000	0.000	0.083	0.064	0.100	0.041	0.147	0.099	1.000	0.000	0.035	0.000	0.049	0.036	0.018	0.000	0.081	0.034
Marital_Status	0.000	0.047	0.022	0.012	0.022	0.000	0.026	0.077	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.147	0.047
Dt_Customer	0.000	0.009	0.145	0.123	0.052	0.079	0.199	0.000	0.115	0.035	0.000	1.000	0.000	0.019	0.000	0.023	0.000	0.181	0.015
AcceptedCmp3	0.000	0.044	0.000	0.024	0.089	0.178	0.077	0.052	0.056	0.000	0.000	0.000	1.000	0.073	0.074	0.089	0.061	0.251	0.000
AcceptedCmp4	0.136	0.000	0.051	0.155	0.192	0.213	0.000	0.043	0.251	0.049	0.000	0.019	0.073	1.000	0.303	0.247	0.284	0.173	0.085
AcceptedCmp5	0.447	0.000	0.245	0.171	0.359	0.229	0.309	0.093	0.526	0.036	0.000	0.000	0.074	0.303	1.000	0.399	0.213	0.324	0.347
AcceptedCmp1	0.358	0.000	0.164	0.165	0.314	0.198	0.202	0.054	0.417	0.018	0.000	0.023	0.089	0.247	0.399	1.000	0.166	0.291	0.278
AcceptedCmp2	0.068	0.034	0.000	0.000	0.111	0.081	0.000	0.000	0.151	0.000	0.000	0.000	0.061	0.284	0.213	0.166	1.000	0.163	0.073
Response	0.193	0.208	0.096	0.166	0.219	0.149	0.121	0.000	0.294	0.081	0.147	0.181	0.251	0.173	0.324	0.291	0.163	1.000	0.204
Number_of_Children	0.303	0.038	0.368	0.149	0.292	0.200	0.325	0.184	0.324	0.034	0.047	0.015	0.000	0.085	0.347	0.278	0.073	0.204	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Education	Marital_Status	Income	Dt_Customer	Recency	NumDealsPurchases	NumWebPurchases	NumCatalogPurchases	NumStorePurchases	NumWebVisitsMonth	AcceptedCmp3	Response	Age	Total_Spending	Number_of_Children
0	Graduation	Single	58138.0	11	58	3	8	10	4	7	0	1	66	1617	0
1	Graduation	Single	46344.0	9	38	2	1	1	2	5	0	0	69	27	2
2	Graduation	Not Single	71613.0	10	26	1	8	2	10	4	0	0	58	776	0
3	Graduation	Not Single	26646.0	9	26	2	2	0	4	6	0	0	39	53	1
4	Post Graduate	Not Single	58293.0	9	94	5	5	3	6	5	0	0	42	422	1
5	Post Graduate	Not Single	62513.0	10	16	2	6	4	10	6	0	0	56	716	1
6	Graduation	Single	55635.0	11	34	4	7	3	7	6	0	0	52	590	1
7	Post Graduate	Not Single	33454.0	10	32	2	4	0	4	8	0	0	38	169	1
8	Post Graduate	Not Single	30351.0	10	19	1	3	0	2	9	0	1	49	46	1
9	Post Graduate	Not Single	5648.0	9	68	1	1	0	0	20	1	0	73	49	2

	Education	Marital_Status	Income	Dt_Customer	Recency	NumDealsPurchases	NumWebPurchases	NumCatalogPurchases	NumStorePurchases	NumWebVisitsMonth	AcceptedCmp3	AcceptedCmp4	AcceptedCmp1	Response	Age	Total_Spending	Number_of_Children
2230	Graduation	Single	11012.0	10	82	3	3	1	2	9	1	0	0	0	39	84	1
2231	Post Graduate	Single	44802.0	11	71	2	9	4	12	8	0	0	0	0	53	1049	0
2232	Graduation	Single	26816.0	11	50	1	0	0	3	4	0	0	0	0	37	22	0
2233	Graduation	Not Single	666666.0	10	23	4	3	1	3	6	0	0	0	0	46	62	1
2234	Graduation	Not Single	34421.0	10	81	1	1	0	2	7	0	0	0	0	49	30	1
2235	Graduation	Not Single	61223.0	10	46	2	9	3	4	5	0	0	0	0	56	1341	1
2236	Post Graduate	Not Single	64014.0	9	56	7	8	2	5	7	0	0	1	0	77	444	3
2237	Graduation	Single	56981.0	9	91	1	2	3	13	6	0	1	0	0	42	1241	0
2238	Post Graduate	Not Single	69245.0	9	8	2	6	5	10	3	0	0	0	0	67	843	1
2239	Post Graduate	Not Single	52869.0	11	40	3	3	1	4	7	0	0	0	1	69	172	2

Most frequently occurring

	Education	Marital_Status	Income	Dt_Customer	Recency	NumDealsPurchases	NumWebPurchases	NumCatalogPurchases	NumStorePurchases	NumWebVisitsMonth	AcceptedCmp5	Age	Total_Spending	Number_of_Children	# duplicates
0	Graduation	Not Single	18690.0	11	77	1	1	1	2	8	0	64	60	0	3
1	Graduation	Not Single	18929.0	10	15	1	1	0	4	6	0	33	85	0	3
24	Graduation	Not Single	39922.0	10	30	2	3	0	4	8	0	40	156	1	3
44	Graduation	Not Single	67445.0	11	63	5	9	6	12	6	0	49	1174	1	3
58	Graduation	Not Single	83844.0	10	57	1	4	4	11	1	1	71	1574	0	3
150	Post Graduate	Single	63841.0	10	64	1	9	3	9	6	0	55	908	1	3
2	Graduation	Not Single	19986.0	10	74	1	0	0	3	7	0	38	22	1	2
3	Graduation	Not Single	21994.0	11	4	1	0	0	3	5	0	66	22	1	2
4	Graduation	Not Single	22419.0	10	74	1	3	2	2	8	0	60	162	0	2
5	Graduation	Not Single	22574.0	10	28	2	2	0	3	7	0	56	37	3	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number